Name List
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Name List has 20 facts recorded in Dontopedia across 4 references, with 1 live disagreement.
Mostly:focuses especially on(5), built from(1), likely residence qualifications(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
instructsToBuildInstructs to Build(1)
- Planning Note
ex:planning-note
isNecessaryForIs Necessary for(1)
- Full Ocr
ex:full-ocr
precedesPrecedes(1)
- Full Ocr
ex:full-ocr
Other facts (20)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Focuses Especially on | Cummings | [1] |
| Focuses Especially on | Duffy Combes | [1] |
| Focuses Especially on | Employment Pages | [1] |
| Focuses Especially on | Fitzgerald | [1] |
| Focuses Especially on | Publican Pages | [1] |
| Built From | Full Ocr | [1] |
| Likely Residence Qualifications | null | [2] |
| Includes Victims of Crime | true | [3] |
| Includes Wife Child Deserters | true | [3] |
| Includes Complainants | true | [3] |
| Consists of Selected Names From1875 To1948 | various dates between 1875 and 1948 | [3] |
| Has Apostrophes Removed From Names Like O Byrne | true | [3] |
| Includes Alleged Offenders | true | [3] |
| Includes Deserters From Ships Army | true | [3] |
| Includes Many Others | true | [3] |
| Includes Prisoners | true | [3] |
| Orders Names Beginning With Mc Before Other M Surnames | true | [3] |
| Rdf:type | Python List | [4] |
| Length | 3 | [4] |
| Element Type | string | [4] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (4)
ctx:genes/rosie-reynolds-massacre-connection/research-checkpoint/qsa-itm6820-ocr-499ctx:genes/rosie-reynolds-massacre-connection/trove-reynolds-bros-carriers-teamsters-3420028ctx:genes/rosie-reynolds-massacre-connection/judy-webster-police-gazette-qld-access-warnings-3301ctx:claims/beam/830f9da6-6442-415f-b959-4e810c077604- full textbeam-chunktext/plain1 KB
doc:beam/830f9da6-6442-415f-b959-4e810c077604Show excerpt
First, define the structure of your data. For simplicity, let's assume you have documents with text content and associated vectors. ```python import pandas as pd from pymongo import MongoClient from pymilvus import connections, FieldSchema…
See also
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